github.com
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Directory
Search results
Published directory entries matching your search.
github.com
Python package which helps to debug machine learning classifiers and explain their predictions.
github.com
A simple and functional machine learning library written in Elixir.
github.com
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
github.com
Face recognition library that recognizes and manipulates faces from Python or from the command line.
github.com
A Python package to assess and improve fairness of machine learning models.
github.com
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
github.com
Industrial Grade Federated Learning Framework.
github.com
Feature store for machine learning.
github.com
Feature engineering package with SKlearn like functionality.
github.com
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
github.com
Python library for automated feature engineering.
github.com
A highly-modular C++ machine learning library for embedded electronics and robotics.
github.com
A Scala library for constructing probabilistic models.
github.com
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
github.com
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
github.com
Ignite your models into blazing-fast machine learning APIs with a modern framework.
github.com
Finds accurate ML models automatically, efficiently and economically.
github.com
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
github.com
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
github.com
Easy-to-use and flexible AutoML library for Python.
github.com
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
github.com
Friendly Federated Learning Framework.
github.com
Drag & drop UI to build your customized LLM flow using LangchainJS.